Achieve Better Data Mobility for Effective AI

How Can Better Data Mobility Power Your AI Initiatives?

Just as people travel globally to seize new business opportunities, your enterprise can unlock AI's full potential through seamless cross-border data flows.?

Today, we’ll explore data mobility – a critical piece of the AI puzzle.?

Let’s dive in!

Why Data Mobility Matters

If your global business is about to run an AI data project, having your data flow smoothly and securely across different platforms and borders isn’t just a nice-to-have – it’s a must.?

Here’s how data mobility can improve your operations:

? Improve AI effectiveness: Effective AI development and training depends on the ability to pool and process data from various sources.?

? Save on costs and expert access: Outsourcing data and AI tasks can reduce overheads and bring in expertise that may be scarce internally.?

? Embrace cloud capabilities: Cloud technologies offer unparalleled resources for AI training. Their scalability accommodates everything from minor trials to full-fledged deployments.

? Make the most out of existing Gen AI solutions: Tools like ChatGPT can boost efficiency, though they require careful management of proprietary data exposure risks.

Navigating the Challenges

Each benefit above hinges on the ability to share and access sensitive data – often the biggest hurdle right from the start of AI projects.

Let’s take a look at the two main challenges to reaching greater data mobility –? compliance and data privacy & security.?

Compliance

• Diverse and rich data are the lifeblood of effective AI systems. However, consolidating and sharing data across different locations and formats quickly becomes a compliance maze.
• For example, under the U.S. CLOUD Act , American authorities can access data held by U.S. companies in the cloud, regardless of the server locations. This requires enterprises to diligently maintain data sovereignty and protection, especially with U.S.-based cloud services.
• Many countries have enacted strict data sovereignty laws. China’s PIPL, UAE's PDPL, and India’s DPDP are just a few examples. These laws require companies to pay close attention to how they move personal data across borders and safeguard it regardless of its destination. Failure to adhere to these regulations can result in significant fines and damage the company's reputation.
• Moreover, upcoming regulations like the EU AI Act will introduce stricter controls on using sensitive data in AI training, increasing compliance demands.

If you’re about to run a data project and looking for ways to stay compliant and build security into your data DNA, grab our guide.

?? Read more in our cross-border data transfer guide ??

Privacy & Security?

Data is particularly vulnerable when it is in use – exactly when it’s the most crucial for developing effective AI. Throughout the AI lifecycle, from development to deployment, there are many privacy risks to watch out for.?

Using third-party LLMs via vendor APIs, such as those from OpenAI or Anthropic, requires continuous data sharing.?

Even simple exchange with tools like ChatGPT, where prompts might be stored or reused for training, poses risks if they contain sensitive information.

In the next section, you’ll see how to address these challenges.

What Can Data Leaders Do to Overcome These Challenges??

As a data leader, your role is to ensure that data not only flows securely but remains accurate and actionable across all touchpoints involved in leveraging AI.

Your focus areas include:

?? Robust protection: Ensuring safe data access, sharing, and processing throughout the AI lifecycle to maintain compliance.

?? Maintaining data quality: Data must remain high-quality after it is shared, ensuring that your teams can continue to derive maximum value from it.

?? Optimizing data accessibility: Quick and reliable access to data can be the difference between seizing an opportunity or missing out.

Strategic Steps Forward

1?? Align with global data protection laws: Keep ahead of data protection laws that influence your AI data handling practices.?

2?? Evaluate and define AI data use cases: Clearly articulate the role of data mobility in your AI strategy. Define specific objectives and outcomes for how data mobility supports your AI initiatives.

3?? Foster team collaboration: Promote an environment where data, privacy, and security teams work closely together. Ensure that your strategies for data mobility are aligned across the board.

4?? Integrate data security tools that protect and ensure the accuracy of your data.?

For example, Anonos Data Embassy helps you safeguard sensitive data throughout the entire AI lifecycle, enabling you to:

? Protect and accelerate time to data

? Enhance performance and quality

? Achieve excellence in the last mile of data handling

? Streamline your data security governance

Curious how these benefits apply in your unique case?

?? Let’s discuss your use case ??

News & Insights From the World of Data

How to Mitigate LLM Privacy Risks in Fine-Tuning and RAG with Protected Data

Language Learning Models (LLMs) open up a world of opportunities for innovation, yet they also pose data security and privacy risks when processing personal or proprietary data.?

Read our whitepaper on how to protect sensitive data and mitigate privacy risks without compromising the utility of LLM-based solutions.

?? Access the whitepaper

Unlocking Client Value with Data: Insights from PwC Germany on Building a Sustainable Data-to-Value Engine

Providing best-in-class services requires cutting-edge data usage - for analysis, AI development, and driving efficiency at a global scale.?

Watch this video recording to discover how one of the largest professional services firms, PwC Germany, built a robust engine to develop data assets into insights to unlock client value.

?? Read more ?

From Anonos Team

We were delighted to join TNP Consultants , an independent French consulting firm specializing in operational, regulator, and digital transformations, for the? "Synthetic Data: A Way to Combine Data Protection and Artificial Intelligence" event in Paris last week.

We had the fantastic opportunity to showcase Data Embassy’s synthetic data generation capabilities to a curious audience.?

Celebrating Four Years at Anonos!

Steve Prestidge , our Chief Commercial & Innovation Officer, recently marked his fourth anniversary with Anonos! In this interview, we delve into his career journey, personal interests, professional goals, and his insights on achieving work-life balance.

?? Read more here

Looking forward to reconnecting with you in our next newsletter!

Anonos Team